Case Study: HanesBrands achieves fast, scalable insights from billions of rows with Tableau Software

Hanesbrands analyzes billions of rows of data

Hanesbrands, a large apparel company, faced the challenge of making sense of billions of rows of point-of-sale and household segmentation data stored in SQL Server and Analysis Services cubes. Traditional tools left analysts spending most of their time cleaning data and took far longer to produce reports, limiting the marketing, sales, supply chain and finance teams’ ability to generate timely, actionable insights.

By deploying Tableau and Tableau Server—connecting directly to cubes or using extracts—Hanesbrands gave broad, secure self-service access via browsers and iPads, speeding report creation and visualization. The change flipped their workflow from 80% data prep to 80% analysis, enabled better store selection, promotion and assortment decisions, and drove faster, more fact-based decision making across the organization.

HanesBrands

Santiago Restrepo

Director of Business Intelligence and Analytics